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Showing 1–19 of 19 questions
Enhancing and cleaning data is an important action during which phase of CPMAI?
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The growth of Big Data has led to a desire to be able to do more to process and extract more value from Big Data. Simply storing data and providing analytics is no longer enough anymore to remain competitive. To keep your organization competitive, you need to:
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Your team is working on an image recognition project, have collected the appropriate data for the project, and have picked a neural network algorithm. They are now ready to train their model. In which phase of CPMAI is this done?
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You have been receiving customer data for the past six months. However recently you notice that this data has drastically changed due to the upcoming holiday season. What seems to be taking place?
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You have an Anomaly Detection project you’re working on and you need a simple approach of clustering data into classified groups. Which algorithm is the best choice given this situation?
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You have just joined a team and they are working on a new project. The project lead isn’t sure what type of technology should be used on this project - AI or a traditional software development approach. What is the best way to determine if you have the criteria for a good AI / ML Project?
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Enhancing and cleaning data is an important action during which phase of CPMAI?
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You’re working with a small inexperienced team on a new ML project. Choosing the best algorithm with the best settings given the training and test data is proving to be very hard for them. You lack the critical data science resources available on your team, and can’t wait weeks until a data science resource becomes available to join your team. What’s your best course of action?
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The team is evaluating where the sources of the data for training are. What phase of CPMAI are they in?
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A financial services firm is building an AI model to detect fraudulent transactions. Identifying and validating data sources is critical to the model’s success. What is an effective method that helps to ensure data accuracy?
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A government project plans to implement an AI-based fraud detection system and the project team needs to define the success criteria. They identified potential improvements in detection accuracy, reduction in investigation time, and cost savings as key performance indicators (KPIs). However, they are unsure how to effectively quantify these KPIs. Which two approaches should be used? (Choose two.)
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An aerospace company is integrating AI for predictive maintenance. The project manager is concerned about potential delays due to external dependencies. Which initial step should the project manager take?
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A healthcare project manager is working on implementing an AI-driven diagnostic tool. The project requires identifying key resources, including data scientists, server infrastructure, and external AI consultants. The project manager needs to ensure the allocated resources are optimized for the project’s success. Which method will help to ensure the optimal allocation of resources?
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A company is using an AI model to screen job applications. Over time, the project team notices that the model disproportionately rejects applications from certain educational institutions. What is the first step the project manager should take?
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A hospital system has been using a chatbot and has received complaints from end users. The end users believe they are speaking to a person but are frustrated when answers do not make sense. To help ensure end users know that they are engaging with an AI chatbot, what should be considered to support transparency?
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A financial services firm is integrating AI to enhance fraud detection. To oversee data evaluation, the project manager needs to ensure the integrity and accuracy of input data, including transaction histories and customer profiles. Which method provides the results that address the requirements?
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A government agency is implementing an AI-powered tool to enhance data security through anomaly detection. The project manager is assembling the team. To identify the subject matter experts (SMEs) who can provide the best insights and contributions to this project, the project manager needs to consider their experience and expertise in various technical domains. Which method will help identify the qualified data SMEs?
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A project manager is preparing a final report on an AI project. The report must highlight lessons learned, focusing on ethical concerns and compliance with data regulations. In addition, the team has identified multiple ethical issues related to data privacy during the project. What is an effective approach to address the situation for future AI projects?
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In the early stages of an AI project, the team needs to determine the types of environments and devices where the AI solution will be used. This information is crucial to ensure a successful implementation. Which action should the project manager implement first?
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This free practice test covers the Cognitive project management in AI (CPMAI) exam from PMI. You will find 19 free questions, drawn from the full Study4Pass practice set of 231 questions for this exam. The free sample is made up of 19 single-answer questions, each with a full explanation. The PMI CPMAI exam is part of the Cognitive project management in AI certification.
The target audience of the PMI CPMAI exam is professionals who want to validate their skills in Cognitive project management in AI and demonstrate their competency to employers. The prerequisites of the PMI CPMAI exam, if any, are defined by PMI in the official exam guide.
Use the sample the way you would use the real thing: answer each question on your own first, then open the explanation and make sure you understand why the right answer is right. That habit — reasoning instead of memorizing — is what carries over to exam day. When a topic keeps tripping you up, that is your study plan telling you where to go next.
When you finish the sample, do not just count the score — read it. Every missed question names a topic, and the full set lets you train that topic on its own until it stops costing you marks. That loop of test, review and targeted practice is how this set is designed to be used, from the first free question to the last simulation.
Inside the full CPMAI practice set:
Pick an answer for each question and check it straight away — the correct answer and a full explanation appear under the question. There is no time limit and nothing to sign up for. When an explanation is not enough, use Ask AI: this is an AI-Enabled practice test, and Ask AI explains the concept behind the question in plain language. Ready for more? The full 231-question set adds a timed Exam Simulation mode, topic training for your weak areas, and a flagged-question review, so you can practise the way the real exam feels.
The CPMAI practice set is built to mirror the full Cognitive project management in AI syllabus, so every major area of the real exam is represented in the questions. The PMI CPMAI exam is part of the Cognitive project management in AI certification. The most reliable study method with a set like this is simple: practise a section, read the explanations, then go back to the official PMI documentation for any topic you missed, and repeat until the explanations feel obvious.
Yes — the 19 questions on this page are completely free, with no signup and no payment details needed.
231 questions. The 19 free questions above are a sample of that full set, in the same style and topic balance.
Yes — every question shows the correct answer with an explanation, and Ask AI can explain the concept behind a question in plain words if you want to go deeper.
No. This is a practice test: the questions are written to mirror the real CPMAI exam’s topics and difficulty, not copied from it.